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Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
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Long-read sequencing for epigenomic studies in the fields of Ecology and Evolution.

Authors: de Carvalho, Clarissa; Ord, James; Escuer, Paula; Fox, Janay; Li-Byarlay, Hongmei; Peck, Lily; Planidin, Nicholas; +2 Authors

Long-read sequencing for epigenomic studies in the fields of Ecology and Evolution.

Abstract

Epigenetic mechanisms, including DNA methylation, play crucial roles in regulating gene expression, influencing phenotypic variation, and facilitating responses to environmental pressures. Bisulfite sequencing has long been the gold standard for studying DNA methylation in ecological and evolutionary contexts. However, this method has significant limitations, such as an inability to distinguish C/T SNPs from methylation calls, poor resolution of structural variants and an inability to detect specific modifications like 5-hydroxy-methylcytosine. The advent of long-read sequencing offers a powerful alternative by directly sequencing native DNA to overcome these limitations. Long-read sequencing enables the accurate detection of DNA methylation and other epigenetic marks, facilitates haplotype phasing for allele-specific studies, and resolves complex structural variation. Although challenges such as computational demands and elevated costs remain, rapid advancements in sequencing technologies, algorithmic efficiency, and declining costs are improving its accessibility. This perspective highlights the transformative potential of long-read sequencing on the study of epigenetics and genome evolution, offering a powerful tool to address critical questions in ecology and evolution.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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